Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application
August 02, 2022 Β· Declared Dead Β· π Empirical Software Engineering
"No code URL or promise found in abstract"
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Authors
Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie Williams
arXiv ID
2208.01595
Category
cs.SE: Software Engineering
Cross-listed
cs.CR
Citations
26
Venue
Empirical Software Engineering
Last Checked
4 months ago
Abstract
CONTEXT: Applying vulnerability detection techniques is one of many tasks using the limited resources of a software project. OBJECTIVE: The goal of this research is to assist managers and other decision-makers in making informed choices about the use of software vulnerability detection techniques through an empirical study of the efficiency and effectiveness of four techniques on a Java-based web application. METHOD: We apply four different categories of vulnerability detection techniques \textendash~ systematic manual penetration testing (SMPT), exploratory manual penetration testing (EMPT), dynamic application security testing (DAST), and static application security testing (SAST) \textendash\ to an open-source medical records system. RESULTS: We found the most vulnerabilities using SAST. However, EMPT found more severe vulnerabilities. With each technique, we found unique vulnerabilities not found using the other techniques. The efficiency of manual techniques (EMPT, SMPT) was comparable to or better than the efficiency of automated techniques (DAST, SAST) in terms of Vulnerabilities per Hour (VpH). CONCLUSIONS: The vulnerability detection technique practitioners should select may vary based on the goals and available resources of the project. If the goal of an organization is to find "all" vulnerabilities in a project, they need to use as many techniques as their resources allow.
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